Overview

Brought to you by YData

Dataset statistics

Number of variables17
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory137.3 B

Variable types

Categorical1
Numeric16

Alerts

Social Media is highly overall correlated with total_campaigns and 7 other fieldsHigh correlation
month is highly overall correlated with weekHigh correlation
num_apps is highly overall correlated with num_smss and 8 other fieldsHigh correlation
num_emails is highly overall correlated with total_campaigns and 7 other fieldsHigh correlation
num_smss is highly overall correlated with num_apps and 7 other fieldsHigh correlation
total_campaigns is highly overall correlated with Social Media and 10 other fieldsHigh correlation
total_clicks is highly overall correlated with Social Media and 10 other fieldsHigh correlation
total_conversions is highly overall correlated with Social Media and 10 other fieldsHigh correlation
total_customers is highly overall correlated with Social Media and 10 other fieldsHigh correlation
total_impressions is highly overall correlated with Social Media and 10 other fieldsHigh correlation
total_orders is highly overall correlated with Social Media and 9 other fieldsHigh correlation
total_revenue is highly overall correlated with Social Media and 10 other fieldsHigh correlation
total_spend is highly overall correlated with Social Media and 10 other fieldsHigh correlation
week is highly overall correlated with monthHigh correlation
agg_aov has unique values Unique
total_impressions has unique values Unique
total_spend has unique values Unique
total_revenue has unique values Unique

Reproduction

Analysis started2025-04-11 18:58:16.095344
Analysis finished2025-04-11 18:58:38.502552
Duration22.41 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

year
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024
53 
2023
50 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters412
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2024 53
51.5%
2023 50
48.5%

Length

2025-04-11T18:58:38.575014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-11T18:58:38.621511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2024 53
51.5%
2023 50
48.5%

Most occurring characters

ValueCountFrequency (%)
2 206
50.0%
0 103
25.0%
4 53
 
12.9%
3 50
 
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 412
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 206
50.0%
0 103
25.0%
4 53
 
12.9%
3 50
 
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common 412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 206
50.0%
0 103
25.0%
4 53
 
12.9%
3 50
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 206
50.0%
0 103
25.0%
4 53
 
12.9%
3 50
 
12.1%

month
Real number (ℝ)

High correlation 

Distinct12
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7184466
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:38.670001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q39
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0595959
Coefficient of variation (CV)0.45540228
Kurtosis-0.97415653
Mean6.7184466
Median Absolute Deviation (MAD)2
Skewness-0.10478997
Sum692
Variance9.361127
MonotonicityNot monotonic
2025-04-11T18:58:38.739376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 11
10.7%
10 11
10.7%
7 11
10.7%
4 10
9.7%
5 10
9.7%
6 10
9.7%
8 10
9.7%
3 8
7.8%
11 7
6.8%
12 5
4.9%
Other values (2) 10
9.7%
ValueCountFrequency (%)
1 5
4.9%
2 5
4.9%
3 8
7.8%
4 10
9.7%
5 10
9.7%
6 10
9.7%
7 11
10.7%
8 10
9.7%
9 11
10.7%
10 11
10.7%
ValueCountFrequency (%)
12 5
4.9%
11 7
6.8%
10 11
10.7%
9 11
10.7%
8 10
9.7%
7 11
10.7%
6 10
9.7%
5 10
9.7%
4 10
9.7%
3 8
7.8%

week
Real number (ℝ)

High correlation 

Distinct52
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.378641
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:38.833731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q117
median28
Q338.5
95-th percentile47.9
Maximum52
Range51
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation13.263629
Coefficient of variation (CV)0.4844517
Kurtosis-0.98537107
Mean27.378641
Median Absolute Deviation (MAD)11
Skewness-0.099663338
Sum2820
Variance175.92385
MonotonicityNot monotonic
2025-04-11T18:58:38.934068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 4
 
3.9%
44 4
 
3.9%
35 4
 
3.9%
31 4
 
3.9%
39 3
 
2.9%
13 3
 
2.9%
18 3
 
2.9%
40 3
 
2.9%
26 3
 
2.9%
14 2
 
1.9%
Other values (42) 70
68.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 2
1.9%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 2
1.9%
10 1
1.0%
ValueCountFrequency (%)
52 1
 
1.0%
51 1
 
1.0%
50 1
 
1.0%
49 1
 
1.0%
48 2
1.9%
47 1
 
1.0%
46 1
 
1.0%
45 2
1.9%
44 4
3.9%
43 2
1.9%

total_customers
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.271845
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:39.027739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.1
Q119
median25
Q331
95-th percentile37.9
Maximum46
Range44
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.4414545
Coefficient of variation (CV)0.38898792
Kurtosis-0.17715246
Mean24.271845
Median Absolute Deviation (MAD)6
Skewness-0.32135558
Sum2500
Variance89.141062
MonotonicityNot monotonic
2025-04-11T18:58:39.113879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
22 9
 
8.7%
25 7
 
6.8%
32 7
 
6.8%
26 6
 
5.8%
30 6
 
5.8%
28 4
 
3.9%
31 4
 
3.9%
24 4
 
3.9%
19 3
 
2.9%
18 3
 
2.9%
Other values (26) 50
48.5%
ValueCountFrequency (%)
2 1
 
1.0%
4 3
2.9%
5 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
10 2
1.9%
11 3
2.9%
12 3
2.9%
13 1
 
1.0%
ValueCountFrequency (%)
46 1
 
1.0%
43 2
 
1.9%
42 1
 
1.0%
38 2
 
1.9%
37 1
 
1.0%
36 3
2.9%
35 2
 
1.9%
34 2
 
1.9%
33 3
2.9%
32 7
6.8%

total_orders
Real number (ℝ)

High correlation 

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254.65049
Minimum32
Maximum476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:39.208913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile78.4
Q1193.5
median262
Q3328.5
95-th percentile400
Maximum476
Range444
Interquartile range (IQR)135

Descriptive statistics

Standard deviation102.75725
Coefficient of variation (CV)0.40352271
Kurtosis-0.36630303
Mean254.65049
Median Absolute Deviation (MAD)69
Skewness-0.22707977
Sum26229
Variance10559.053
MonotonicityNot monotonic
2025-04-11T18:58:39.312055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229 3
 
2.9%
400 2
 
1.9%
122 2
 
1.9%
293 2
 
1.9%
224 2
 
1.9%
337 2
 
1.9%
95 2
 
1.9%
287 2
 
1.9%
254 2
 
1.9%
282 2
 
1.9%
Other values (80) 82
79.6%
ValueCountFrequency (%)
32 1
1.0%
36 1
1.0%
37 1
1.0%
55 1
1.0%
59 1
1.0%
78 1
1.0%
82 1
1.0%
95 2
1.9%
96 1
1.0%
109 2
1.9%
ValueCountFrequency (%)
476 1
1.0%
472 1
1.0%
464 1
1.0%
444 1
1.0%
436 1
1.0%
400 2
1.9%
384 1
1.0%
379 1
1.0%
376 1
1.0%
372 1
1.0%

agg_aov
Real number (ℝ)

Unique 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1100.289
Minimum758.55221
Maximum1416.1912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:39.411304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum758.55221
5-th percentile854.21946
Q11032.9705
median1103.6575
Q31176.1454
95-th percentile1310.176
Maximum1416.1912
Range657.63895
Interquartile range (IQR)143.17482

Descriptive statistics

Standard deviation131.66769
Coefficient of variation (CV)0.11966646
Kurtosis0.28417074
Mean1100.289
Median Absolute Deviation (MAD)74.090192
Skewness-0.36067182
Sum113329.77
Variance17336.381
MonotonicityNot monotonic
2025-04-11T18:58:39.508646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1219.826667 1
 
1.0%
1103.348765 1
 
1.0%
1070.18566 1
 
1.0%
1095.342963 1
 
1.0%
1140.620118 1
 
1.0%
1261.691786 1
 
1.0%
1140.321304 1
 
1.0%
852.412963 1
 
1.0%
1116.843898 1
 
1.0%
1220.493214 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
758.5522059 1
1.0%
779.0398039 1
1.0%
786.8245783 1
1.0%
789.685 1
1.0%
846.6886792 1
1.0%
852.412963 1
1.0%
870.4779104 1
1.0%
886.2067308 1
1.0%
894.2468966 1
1.0%
898.8004762 1
1.0%
ValueCountFrequency (%)
1416.191154 1
1.0%
1360.136875 1
1.0%
1339.797234 1
1.0%
1325.930833 1
1.0%
1318.101449 1
1.0%
1311.140714 1
1.0%
1301.493733 1
1.0%
1299.927474 1
1.0%
1286.19375 1
1.0%
1277.586364 1
1.0%

total_campaigns
Real number (ℝ)

High correlation 

Distinct7
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.427184
Minimum9
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:39.581615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile18
Q145
median63
Q363
95-th percentile63
Maximum63
Range54
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.068261
Coefficient of variation (CV)0.32556127
Kurtosis0.26500956
Mean52.427184
Median Absolute Deviation (MAD)0
Skewness-1.3179305
Sum5400
Variance291.32553
MonotonicityNot monotonic
2025-04-11T18:58:39.646098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
63 69
67.0%
27 8
 
7.8%
36 7
 
6.8%
18 6
 
5.8%
45 5
 
4.9%
9 4
 
3.9%
54 4
 
3.9%
ValueCountFrequency (%)
9 4
 
3.9%
18 6
 
5.8%
27 8
 
7.8%
36 7
 
6.8%
45 5
 
4.9%
54 4
 
3.9%
63 69
67.0%
ValueCountFrequency (%)
63 69
67.0%
54 4
 
3.9%
45 5
 
4.9%
36 7
 
6.8%
27 8
 
7.8%
18 6
 
5.8%
9 4
 
3.9%

total_impressions
Real number (ℝ)

High correlation  Unique 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286287.48
Minimum38857
Maximum388469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:39.736196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum38857
5-th percentile85158.2
Q1230108
median336363
Q3351173.5
95-th percentile372191.4
Maximum388469
Range349612
Interquartile range (IQR)121065.5

Descriptive statistics

Standard deviation96633.445
Coefficient of variation (CV)0.3375399
Kurtosis0.018992335
Mean286287.48
Median Absolute Deviation (MAD)21346
Skewness-1.1864944
Sum29487610
Variance9.3380228 × 109
MonotonicityNot monotonic
2025-04-11T18:58:39.844063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169828 1
 
1.0%
340251 1
 
1.0%
231460 1
 
1.0%
108768 1
 
1.0%
351381 1
 
1.0%
357259 1
 
1.0%
358844 1
 
1.0%
340708 1
 
1.0%
331774 1
 
1.0%
336363 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
38857 1
1.0%
50126 1
1.0%
52949 1
1.0%
57990 1
1.0%
83558 1
1.0%
84955 1
1.0%
86987 1
1.0%
97191 1
1.0%
108768 1
1.0%
110681 1
1.0%
ValueCountFrequency (%)
388469 1
1.0%
385816 1
1.0%
383143 1
1.0%
380349 1
1.0%
374915 1
1.0%
372464 1
1.0%
369738 1
1.0%
369385 1
1.0%
367757 1
1.0%
367166 1
1.0%

total_clicks
Real number (ℝ)

High correlation 

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28875.194
Minimum4106
Maximum38875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:39.945465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4106
5-th percentile9881.3
Q124530
median33130
Q335439
95-th percentile37495.6
Maximum38875
Range34769
Interquartile range (IQR)10909

Descriptive statistics

Standard deviation9504.7583
Coefficient of variation (CV)0.3291669
Kurtosis0.1241945
Mean28875.194
Median Absolute Deviation (MAD)3386
Skewness-1.1820024
Sum2974145
Variance90340430
MonotonicityNot monotonic
2025-04-11T18:58:40.051799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34661 2
 
1.9%
15068 1
 
1.0%
25405 1
 
1.0%
9852 1
 
1.0%
34418 1
 
1.0%
35455 1
 
1.0%
34551 1
 
1.0%
32193 1
 
1.0%
34667 1
 
1.0%
31901 1
 
1.0%
Other values (92) 92
89.3%
ValueCountFrequency (%)
4106 1
1.0%
4425 1
1.0%
5151 1
1.0%
5919 1
1.0%
9464 1
1.0%
9852 1
1.0%
10145 1
1.0%
10581 1
1.0%
10907 1
1.0%
11537 1
1.0%
ValueCountFrequency (%)
38875 1
1.0%
38746 1
1.0%
38038 1
1.0%
37739 1
1.0%
37531 1
1.0%
37496 1
1.0%
37492 1
1.0%
37415 1
1.0%
37410 1
1.0%
37356 1
1.0%

total_conversions
Real number (ℝ)

High correlation 

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2893.5728
Minimum402
Maximum3953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:40.150003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum402
5-th percentile935.3
Q12290
median3332
Q33565.5
95-th percentile3707.5
Maximum3953
Range3551
Interquartile range (IQR)1275.5

Descriptive statistics

Standard deviation941.25878
Coefficient of variation (CV)0.32529293
Kurtosis0.13531068
Mean2893.5728
Median Absolute Deviation (MAD)274
Skewness-1.2041356
Sum298038
Variance885968.09
MonotonicityNot monotonic
2025-04-11T18:58:40.254158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3331 2
 
1.9%
3678 2
 
1.9%
3603 2
 
1.9%
3253 2
 
1.9%
3632 2
 
1.9%
1586 1
 
1.0%
3466 1
 
1.0%
3492 1
 
1.0%
3757 1
 
1.0%
931 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
402 1
1.0%
538 1
1.0%
599 1
1.0%
692 1
1.0%
922 1
1.0%
931 1
1.0%
974 1
1.0%
1042 1
1.0%
1145 1
1.0%
1165 1
1.0%
ValueCountFrequency (%)
3953 1
1.0%
3820 1
1.0%
3757 1
1.0%
3751 1
1.0%
3709 1
1.0%
3708 1
1.0%
3703 1
1.0%
3678 2
1.9%
3677 1
1.0%
3664 1
1.0%

total_spend
Real number (ℝ)

High correlation  Unique 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158445.03
Minimum23086.51
Maximum213248.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:40.353423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23086.51
5-th percentile49108.854
Q1130284.74
median184506.03
Q3193318.36
95-th percentile200881.81
Maximum213248.87
Range190162.36
Interquartile range (IQR)63033.63

Descriptive statistics

Standard deviation52395.833
Coefficient of variation (CV)0.33068776
Kurtosis0.17991233
Mean158445.03
Median Absolute Deviation (MAD)12651.71
Skewness-1.2362952
Sum16319838
Variance2.7453233 × 109
MonotonicityNot monotonic
2025-04-11T18:58:40.457628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80695.52 1
 
1.0%
197122.33 1
 
1.0%
133515.46 1
 
1.0%
60599.81 1
 
1.0%
194767.81 1
 
1.0%
198186.7 1
 
1.0%
198505.09 1
 
1.0%
178647.29 1
 
1.0%
197021.34 1
 
1.0%
186021.16 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
23086.51 1
1.0%
27539.42 1
1.0%
28027.13 1
1.0%
28623 1
1.0%
46274.69 1
1.0%
48609.25 1
1.0%
53605.29 1
1.0%
54274.48 1
1.0%
55189.37 1
1.0%
60599.81 1
1.0%
ValueCountFrequency (%)
213248.87 1
1.0%
211111.75 1
1.0%
208447.92 1
1.0%
207726.83 1
1.0%
204105.78 1
1.0%
200882.9 1
1.0%
200871.98 1
1.0%
200610.64 1
1.0%
200007.29 1
1.0%
199480.69 1
1.0%

total_revenue
Real number (ℝ)

High correlation  Unique 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312557.35
Minimum49331.8
Maximum421021.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:40.555176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum49331.8
5-th percentile101029.19
Q1246231.92
median361193.02
Q3382419
95-th percentile405550.77
Maximum421021.03
Range371689.23
Interquartile range (IQR)136187.08

Descriptive statistics

Standard deviation104354.11
Coefficient of variation (CV)0.33387188
Kurtosis0.15694646
Mean312557.35
Median Absolute Deviation (MAD)29951.23
Skewness-1.2142959
Sum32193407
Variance1.088978 × 1010
MonotonicityNot monotonic
2025-04-11T18:58:40.668159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172823.03 1
 
1.0%
373701.77 1
 
1.0%
254295.6 1
 
1.0%
102264.01 1
 
1.0%
405625.46 1
 
1.0%
374999.15 1
 
1.0%
350049 1
 
1.0%
376385.81 1
 
1.0%
363843.73 1
 
1.0%
415212.78 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
49331.8 1
1.0%
50047.63 1
1.0%
51442.16 1
1.0%
53558.69 1
1.0%
91079.68 1
1.0%
100891.99 1
1.0%
102264.01 1
1.0%
103458.07 1
1.0%
108922.18 1
1.0%
120891.71 1
1.0%
ValueCountFrequency (%)
421021.03 1
1.0%
415212.78 1
1.0%
414322.52 1
1.0%
408981.7 1
1.0%
406125.91 1
1.0%
405625.46 1
1.0%
404878.55 1
1.0%
404618.72 1
1.0%
403604.22 1
1.0%
403313.89 1
1.0%

num_apps
Real number (ℝ)

High correlation 

Distinct20
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.339806
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:40.761613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q110
median14
Q317
95-th percentile19
Maximum22
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.7928734
Coefficient of variation (CV)0.35929109
Kurtosis-0.49221229
Mean13.339806
Median Absolute Deviation (MAD)3
Skewness-0.61238217
Sum1374
Variance22.971635
MonotonicityNot monotonic
2025-04-11T18:58:40.846489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
14 14
13.6%
18 10
9.7%
16 10
9.7%
17 10
9.7%
19 8
 
7.8%
13 7
 
6.8%
7 7
 
6.8%
9 5
 
4.9%
15 5
 
4.9%
10 4
 
3.9%
Other values (10) 23
22.3%
ValueCountFrequency (%)
2 2
 
1.9%
3 2
 
1.9%
4 3
2.9%
6 3
2.9%
7 7
6.8%
8 3
2.9%
9 5
4.9%
10 4
3.9%
11 3
2.9%
12 3
2.9%
ValueCountFrequency (%)
22 1
 
1.0%
21 1
 
1.0%
20 2
 
1.9%
19 8
7.8%
18 10
9.7%
17 10
9.7%
16 10
9.7%
15 5
 
4.9%
14 14
13.6%
13 7
6.8%

num_emails
Real number (ℝ)

High correlation 

Distinct22
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.038835
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:40.930515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110.5
median14
Q316
95-th percentile20
Maximum24
Range23
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.9723201
Coefficient of variation (CV)0.38134696
Kurtosis-0.28407895
Mean13.038835
Median Absolute Deviation (MAD)3
Skewness-0.46713106
Sum1343
Variance24.723967
MonotonicityNot monotonic
2025-04-11T18:58:41.011626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
16 11
10.7%
14 10
 
9.7%
13 10
 
9.7%
12 8
 
7.8%
15 8
 
7.8%
17 8
 
7.8%
6 7
 
6.8%
8 6
 
5.8%
19 5
 
4.9%
3 5
 
4.9%
Other values (12) 25
24.3%
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
3 5
4.9%
5 1
 
1.0%
6 7
6.8%
7 2
 
1.9%
8 6
5.8%
9 1
 
1.0%
10 2
 
1.9%
11 5
4.9%
ValueCountFrequency (%)
24 1
 
1.0%
22 1
 
1.0%
21 3
 
2.9%
20 2
 
1.9%
19 5
4.9%
18 5
4.9%
17 8
7.8%
16 11
10.7%
15 8
7.8%
14 10
9.7%

num_smss
Real number (ℝ)

High correlation 

Distinct24
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.009709
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:41.095857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median14
Q317
95-th percentile20.9
Maximum26
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7180402
Coefficient of variation (CV)0.439521
Kurtosis-0.56215808
Mean13.009709
Median Absolute Deviation (MAD)4
Skewness-0.43446145
Sum1340
Variance32.695983
MonotonicityNot monotonic
2025-04-11T18:58:41.171771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18 10
 
9.7%
14 10
 
9.7%
17 8
 
7.8%
16 8
 
7.8%
15 8
 
7.8%
19 6
 
5.8%
13 6
 
5.8%
12 6
 
5.8%
8 5
 
4.9%
3 4
 
3.9%
Other values (14) 32
31.1%
ValueCountFrequency (%)
1 2
 
1.9%
2 3
2.9%
3 4
3.9%
4 4
3.9%
5 3
2.9%
6 2
 
1.9%
7 2
 
1.9%
8 5
4.9%
9 4
3.9%
10 1
 
1.0%
ValueCountFrequency (%)
26 1
 
1.0%
23 1
 
1.0%
22 3
 
2.9%
21 1
 
1.0%
20 2
 
1.9%
19 6
5.8%
18 10
9.7%
17 8
7.8%
16 8
7.8%
15 8
7.8%

Social Media
Real number (ℝ)

High correlation 

Distinct24
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.038835
Minimum0
Maximum25
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:41.259078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median14
Q316
95-th percentile21
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.269078
Coefficient of variation (CV)0.4041065
Kurtosis-0.075756263
Mean13.038835
Median Absolute Deviation (MAD)3
Skewness-0.38683239
Sum1343
Variance27.763183
MonotonicityNot monotonic
2025-04-11T18:58:41.341449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
14 16
15.5%
16 10
 
9.7%
13 10
 
9.7%
17 7
 
6.8%
12 6
 
5.8%
21 6
 
5.8%
11 5
 
4.9%
15 5
 
4.9%
8 4
 
3.9%
3 4
 
3.9%
Other values (14) 30
29.1%
ValueCountFrequency (%)
0 1
 
1.0%
2 3
2.9%
3 4
3.9%
4 2
1.9%
5 2
1.9%
6 1
 
1.0%
7 3
2.9%
8 4
3.9%
9 4
3.9%
10 3
2.9%
ValueCountFrequency (%)
25 1
 
1.0%
24 1
 
1.0%
22 1
 
1.0%
21 6
5.8%
20 1
 
1.0%
19 4
 
3.9%
18 3
 
2.9%
17 7
6.8%
16 10
9.7%
15 5
4.9%

roas
Real number (ℝ)

Distinct49
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9743689
Minimum1.66
Maximum2.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size956.0 B
2025-04-11T18:58:42.087053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.66
5-th percentile1.713
Q11.87
median1.97
Q32.08
95-th percentile2.23
Maximum2.61
Range0.95
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.16347135
Coefficient of variation (CV)0.08279676
Kurtosis1.1725225
Mean1.9743689
Median Absolute Deviation (MAD)0.11
Skewness0.54299817
Sum203.36
Variance0.026722882
MonotonicityNot monotonic
2025-04-11T18:58:42.185733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.9 6
 
5.8%
2.03 6
 
5.8%
1.96 6
 
5.8%
1.97 5
 
4.9%
1.87 4
 
3.9%
2.08 4
 
3.9%
2.23 3
 
2.9%
1.85 3
 
2.9%
2.14 3
 
2.9%
1.79 3
 
2.9%
Other values (39) 60
58.3%
ValueCountFrequency (%)
1.66 1
 
1.0%
1.68 1
 
1.0%
1.69 1
 
1.0%
1.7 2
1.9%
1.71 1
 
1.0%
1.74 1
 
1.0%
1.75 1
 
1.0%
1.76 3
2.9%
1.77 1
 
1.0%
1.78 2
1.9%
ValueCountFrequency (%)
2.61 1
 
1.0%
2.33 1
 
1.0%
2.31 1
 
1.0%
2.25 1
 
1.0%
2.24 1
 
1.0%
2.23 3
2.9%
2.19 1
 
1.0%
2.18 1
 
1.0%
2.17 1
 
1.0%
2.16 1
 
1.0%

Interactions

2025-04-11T18:58:37.259756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:16.870382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.970689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.081604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.193592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.359514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.882600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:25.645771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.841225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.045300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.249029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.833612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.995385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.411720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.660546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.206335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.318388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.018627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.037150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.153339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.267408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.444881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.954067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:25.723741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.923465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.115230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.316710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.900957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.068362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.502267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.726792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.263458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.377739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.075208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.100069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.215909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.337370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.545743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.031689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:25.799726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.000930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.191502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.395897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.972494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.147704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.590991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.787551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.329219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.435293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.131029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.164557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.277478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.394886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.628015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.107861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:25.872721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.067585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.258423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.461257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.052698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.214908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.665859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.848438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.392193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.489943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.190693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.225163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.339907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.447201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.708226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.187529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:25.941949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.136507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.325339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.526615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.121277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.283148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.760247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.908530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.456203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.549686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.254024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.300282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.409715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.519741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.809722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.268925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.017328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.216218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.402173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.594470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.194173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.353994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.851925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.977775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.523350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.613976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.314988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.368265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.474850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.581679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.900259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.347302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.087332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.298548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.477062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.071589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.273854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.432592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.955026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.042867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.590549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.679200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.381140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.445472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.548256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.651449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.034188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.429699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.158735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.377033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.550974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.144862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.346630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.508635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.042514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.122851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.658508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.744972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.444518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.517709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.624769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.723684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.157482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.533512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.230185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.455878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.630985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.219122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.425457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.649275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.125821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.188226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.731679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.809243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.510944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.588116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.721799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.799083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.281937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.635123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.308379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.535962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.707434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.296761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.493646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.766505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.192039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.751529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.796771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.871195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.578328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.659720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.788398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.866385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.401515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.723800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.398058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.612825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.790038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.371330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.568210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.869894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.261396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.823324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.863753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.939090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.646080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.741306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.861949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.936385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.515849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.809091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.470912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.687504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.868210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.451382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.637854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:32.970428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.329442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.892478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.935012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:38.010616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.720247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.813978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.936133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.005331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.592548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.906004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.551800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.762321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:28.961598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.528761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.719514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.072829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.404039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:35.958635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.010078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:38.070702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.789567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.880202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.000786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.093868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.666871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:23.974665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.623739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.827518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.035369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.599828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.783164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.160083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.465078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.022328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.068343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:38.132858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.849687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:18.950545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.067500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.182504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.737474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:24.058559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.698031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.898551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.106038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.674021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.854859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.242776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.528659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.084443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.131165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:38.203791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:17.912436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:19.016433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:20.132538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:21.278589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:22.814442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:24.135677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:26.769032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:27.973344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:29.176030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:30.760553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:31.924125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:33.329589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:34.592170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:36.151796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-11T18:58:37.200471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-11T18:58:42.281301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Social Mediaagg_aovmonthnum_appsnum_emailsnum_smssroastotal_campaignstotal_clickstotal_conversionstotal_customerstotal_impressionstotal_orderstotal_revenuetotal_spendweekyear
Social Media1.0000.0390.1080.3930.3560.4390.0480.7290.5640.6250.6120.6550.6120.5750.5440.1170.000
agg_aov0.0391.000-0.037-0.099-0.0760.0290.061-0.0050.1110.0160.0260.119-0.0300.064-0.039-0.0390.246
month0.108-0.0371.000-0.113-0.147-0.0560.008-0.086-0.028-0.064-0.0870.022-0.063-0.078-0.1130.9940.261
num_apps0.393-0.099-0.1131.0000.4300.5830.0860.7640.6130.6430.5860.6080.5930.6080.655-0.1160.000
num_emails0.356-0.076-0.1470.4301.0000.3610.0960.6830.5630.5960.5690.5840.5440.6400.654-0.1390.151
num_smss0.4390.029-0.0560.5830.3611.0000.0850.7900.7330.6250.5040.6040.4750.6580.620-0.0630.000
roas0.0480.0610.0080.0860.0960.0851.0000.0810.120-0.0460.0620.1150.0310.382-0.1660.0200.220
total_campaigns0.729-0.005-0.0860.7640.6830.7900.0811.0000.8340.8360.7330.8190.7080.8360.835-0.0830.000
total_clicks0.5640.111-0.0280.6130.5630.7330.1200.8341.0000.7140.6100.6960.5960.7680.723-0.0280.000
total_conversions0.6250.016-0.0640.6430.5960.625-0.0460.8360.7141.0000.6220.6400.6590.6400.739-0.0610.000
total_customers0.6120.026-0.0870.5860.5690.5040.0620.7330.6100.6221.0000.6500.9480.6030.633-0.0820.345
total_impressions0.6550.1190.0220.6080.5840.6040.1150.8190.6960.6400.6501.0000.6100.7190.6800.0310.000
total_orders0.612-0.030-0.0630.5930.5440.4750.0310.7080.5960.6590.9480.6101.0000.5620.632-0.0620.117
total_revenue0.5750.064-0.0780.6080.6400.6580.3820.8360.7680.6400.6030.7190.5621.0000.739-0.0810.000
total_spend0.544-0.039-0.1130.6550.6540.620-0.1660.8350.7230.7390.6330.6800.6320.7391.000-0.1190.000
week0.117-0.0390.994-0.116-0.139-0.0630.020-0.083-0.028-0.061-0.0820.031-0.062-0.081-0.1191.0000.293
year0.0000.2460.2610.0000.1510.0000.2200.0000.0000.0000.3450.0000.1170.0000.0000.2931.000

Missing values

2025-04-11T18:58:38.320123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-11T18:58:38.438134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

yearmonthweektotal_customerstotal_ordersagg_aovtotal_campaignstotal_impressionstotal_clickstotal_conversionstotal_spendtotal_revenuenum_appsnum_emailsnum_smssSocial Mediaroas
02023311211981219.8266672716982815068158680695.52172823.0396392.14
12023312313791103.34876563340251354553757197122.33373701.77132117121.90
22023313222291070.18566045231460254052743133515.46254295.609131671.90
320234139821095.34296318108768985293160599.81102264.0173351.69
42023414364001140.62011863351381344183678194767.81405625.46131417192.08
52023415292611261.69178663357259345513657198186.70374999.15181419121.89
62023416252761140.32130463358844321933466198505.09350049.00221214151.76
7202341721193852.41296363340708319013492178647.29376385.81141616172.11
82023518202461116.84389863331774346673342197021.34363843.73161518141.85
92023519221741220.49321463336363360713228186021.16415212.78141619142.23
yearmonthweektotal_customerstotal_ordersagg_aovtotal_campaignstotal_impressionstotal_clickstotal_conversionstotal_spendtotal_revenuenum_appsnum_emailsnum_smssSocial Mediaroas
932024938363641192.13380363306554346843353193469.08376238.18171214201.94
942024939384641103.65750063337383365513600200871.98384387.64161917111.91
9520249404591154.773000950126591959927539.4249331.8031231.79
962024104033400913.69662854286898304282759156607.07317924.72131613122.03
9720241041283191301.49373363341468366793632199480.69399898.12181217162.00
9820241042333611050.83882463339399377393603180789.02355748.22161416171.97
9920241043322901137.43312563369738331303204191352.91374875.43161516161.96
10020241044141391185.8167653615241819551207492676.86214216.3812131102.31
1012024114412109894.2468972716765416606148682122.99156076.92712531.90
102202411455551252.450000188355810581114553605.29100891.9973441.88